IO.NET (IO)

Friends, a few days ago I shared the new tokenomics model of https://t.co/ANKA5kq3c1 with you. What caught my eye was especially the token burns being directly tied to network revenue. The first burn has occurred: 🔥 499,923 $IO were permanently removed from circulation. In my opinion, the important thing here is not the amount burned but the mechanism itself. Because in many projects burns come from treasury funds or one‑off decisions, while the model on https://t.co/ANKA5kq3c1 works differently. 📌 The network is being used 📌 Revenue is generated 📌 Part of the revenue is used to buy $IO from the market 📌 The purchased tokens are burned So, in theory, as the network grows, the burn amount is expected to increase as well. The AI infrastructure side has already been very active lately. Billions of tokens are processed daily on OpenRouter and demand for decentralized GPUs continues to grow. Therefore, in the coming period, the focus should not be on a single burn announcement. It’s about how closely the network usage data and the burn mechanism evolve in parallel. The 499k $IO was the first step. Let’s see what result the new model will deliver.

Selam amigos A few days ago I mentioned @ionet's new IDE model and the burning/buyback plans against token inflation. In a short time, about 500K $IO have already been permanently removed from circulation. As the @ionet network is used, even more will be burned. This is what is called Utility-Driven. In short, as the number of network users, AI requests, and partnerships with institutions increase, net revenue also rises. The network is being used. As a result, revenue is generated and $IO tokens are burned with that revenue. Moreover, this was just the beginning. Considering @ionet's real‑time usage and growth data, more than 12 million $IO are expected to be burned in the coming year. Every day 4 billion tokens are processed on OpenRouter, and demand for this decentralized GPU infrastructure keeps growing. So we’ll likely see these burn tweets often. In summary, there are hundreds of projects on the market that survive only on speculation and empty promises. But @ionet is making great progress as an ecosystem that runs a massive AI infrastructure and creates real value, pushing its own token further. For more details: https://t.co/mBorwN0elx

A few days ago I wrote that https://t.co/yVrkZQGzp2 would burn $IO with its own revenue. The first one has arrived. Exactly 499.923 $IO were permanently burned, completely removed from circulation. And it was done not with speculation; it was done with the network’s real revenue, corporate deals and AI demand. As usage increases, burning increases, supply decreases. And this is just the beginning: more than 12 million $IO are expected to be burned over 12 months. While the market is full of projects driven by speculation, it is rare to see a project that makes its token scarce with the revenue it generates. Real revenue is permanent; the rest is inflation.

Snipers have 6.8% of $IO (CA 3ZNf2wrms62SXmh88nHyyAivzAoKoKRwsAGGbyUNpump) supply, insiders have 6.9%, team holds 6.7% per devsnightmare. wrld_sol, emroonz, Flips, Collectible, 0xuberM, Onchainrobber, Flips, A cluster has 4.7% on the bubblemap - not sure what it is DYOR. CEX map cluster has 61.4%. Binance funded wallets have 25.5%, Coinbase 17.3%, Mexc 13% (high), Change Now 5.7%, 13.9% (high). Top 70 holders have 81.8%, top 10 have 22.2%, 450 holders with an average bag at $245. Nfa

Top #DePIN Projects by Annual Revenue DePIN remains one of the few crypto sectors generating real protocol revenue from physical infrastructure networks. @ionet leads at $12.5M annually with a 29% gain, followed by @helium ($10.5M) and @GEODNET ($7.87M). Geodnet posted the strongest move at +48.5%, while Helium dropped 67.2% despite holding second. $IO $HNT $GEOD

$IO is sitting at the bottom. - Decentralized GPU network - Powers actual AI compute AI narrative is heating up. The GPU layer is where the real money flows. NFA. https://t.co/nRyjxiOXrg